Amazon Web Services is aiming to reduce it with the addition of new capabilities to AWS Transform, its AI-driven service for modernizing legacy code, applications, and infrastructure. "Modernization is no longer optional for enterprises these days," said Akshat Tyagi, associate practice leader at HFS Research. They need cleaner code and updated SDKs to run AI workloads, tighten security, and meet new regulations, he said, but their inability to modernize custom code quickly and with little manual effort is one of the major drivers of technical debt.
In 2022, Debian developers decided to include some much-needed but non-free firmware to enhance their distribution's compatibility with a wider range of hardware. There were several reasons for this, including the state of open-source firmware for Nvidia GPUs. Given the importance of graphics devices in relation to AI, having firmware and drivers that are fully capable can mean the difference between them working properly and not.
But there's bad news for those who prefer to avoid Lennart Poettering's all-encompassing system management suite. As the version 23.5 announcement puts it, it uses: Systemd init on the live session and subsequent installs. Although I personally am ambivalent and apolitical about Linux init systems it is a fact that Enlightenment Desktop Environment is designed, developed and deployed with systemd in mind.
"Breaking into Big Tech is hardest at the beginning," he said. "For me, that breakthrough came via internships at Amazon and Salesforce, which gave me enough credibility to land my Microsoft offer."
Every few years our team ends up reevaluating our test management setup and it always leads to the same debate. Most tools look similar on paper, but the real difference shows up six months later when the suite grows and the process gets messy. Some teams love the structure in tools like TestRail or Qase, others prefer something lighter that does not slow them down.
Since I started my journey with Linux in 1997, I've maybe paid for a handful of applications. I've grown so accustomed to open-source software that when I'm on MacOS and find that I have to pay for something, it takes me aback. What? I have to pay for software? Also: 10 open-source Windows apps I can't live without - and they're all free At the same time, there are certain open-source applications I would pay for, GPL or not. Some of these software titles are just that good, while others I simply depend on.
Reddit has completed amajor rebuild of its comment backend, migrating from a legacy Python system to a domain-specific Go microservice to improve performance and reliability. The change addresses long-standing challenges with latency and scalability in one of Reddit's highest-write systems, while laying the groundwork for modernizing other core models. The migration followed a multi-phase strategy designed to preserve correctness and minimize user disruption.
I recently started a small project and worked with an app developer from one of the well-known app development firms, but halfway through the process I realized the team didn't fully understand the story or purpose behind my idea. Someone suggested I check out Apploid Studios, saying they focus more on user experience, but I'm not sure if switching teams mid-project is a smart move. Has anyone ever changed app developers in the middle of a build? How did it turn out?
"While businesses aren't investing, it's hard to make much progress in the software world," Fowler said. "And so we have this weird mix of no investment, pretty much depression in the software industry, with an AI bubble going on."
Google has added support for the Go language to its Agent Development Kit (ADK), enabling Go developers to build and manage agents in an idiomatic way that leverages the language's strong concurrency and typing features. The Go ADK is an open-source toolkit that enables developers to build modular multi-agent systems in which specialized agents are are organized hierarchically. It also provides support for debugging, versioning, and flexible deployment.
"Unlike traditional chat models that generate text-based responses, Computer Use Agent (CUA) models like Fara-7B leverage computer interfaces, such as a mouse and keyboard, to complete tasks on behalf of users," Microsoft said in a blog post. "With only 7 billion parameters, Fara-7B achieves state-of-the-art performance within its size class and is competitive with larger, more resource-intensive agentic systems that depend on prompting multiple large models."
Momentic makes tools for software testing and verification, a niche currently occupied by open-source frameworks like Playwright and Selenium. Those tools offer complex, fine-grained controls, but Momentic is counting on AI to make the process simple and effective. "We help our customers make sure their product works," co-founder Wei-Wei Wu said. "They can describe their critical user flows in plain English and our AI will automate it."
AWS re:Invent is a learning focused conference and the best place for developer to learn is in one of the roughly 75 sessions on the Developer Tools track. With breakout sessions, lightening talks, chalk talks, code talks, workshops, builder sessions, and meetups, you are sure to find a something that appeals the developer in you. Check you the event catalog, or start with these stand out sessions.
Install the package. Add mock-mcp as a dev dependency inside your project. npm install -D mock-mcp yarn add -D mock-mcp pnpm add -D mock-mcp Configure the Model Context Protocol server. For example, Claude Desktop can launch the binary through npx: Connect from your tests. Use connect to retrieve a mock client and request data for intercepted calls. Run with MCP enabled. Prompt your AI client to run the persistent test command and provide mocks through the tools.
IT development has been around for more than 60 years and it has undergone radical transformations from the emergence of the first programming languages and OS development to the internet boom and the current AI era. Although programming tools and approaches are constantly changing, one thing remains constant: Only those developers who can adapt and master new knowledge and skills survive.
The main feature of the 3.0 release is a new decoupled architecture. This change fixes a key limitation found in earlier versions. In earlier versions of Mimir, the ingester component handled both reading and writing. This setup meant that heavy query loads could hurt ingestion performance. The new design adds Apache Kafka as an asynchronous buffer between ingestion and query tasks. This allows each path to scale on its own and removes the cross-path dependencies that affected system stability before.
Microsoft has been supporting PostgreSQL on Azure since 2017, with its 2019 acquisition of Citus Data bringing significant experience with scaling and performance. Since then, Microsoft has begun to build out a family of PostgreSQL platform-as-a-service implementations, with a hyperscale version as part of its Cosmos DB platform and a managed flexible server for most day-to-day operations. It even supports you running your own PostgreSQL instances on Azure VMs.